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SASInstitute A00-406 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building Models | 40-46% | - Model comparison and selection - Supervised model creation (decision trees, ensembles, SVM, neural networks) |
| Topic 2: Data Sources | 30-36% | - Dimensionality reduction and feature engineering - Importing and preparing data - Exploring and modifying data |
| Topic 3: Model Assessment and Deployment | 24-30% | - Deploying models into production - Assessing model performance (metrics, ROC curves, confusion matrices) |
SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:
1. Refer to the treemap shown in the exhibit below:
Which statement is true about the tree map for a decision tree with a binary target?
A) The darker bars represent nodes with a lower probability of event.
B) The top bar represents the node with the highest count.
C) The wider bars represent nodes with a higher probability of event.
D) The top bar represents the node with the highest probability of event.
2. Given the following properties for a neural network model, which statement is true regrading hidden units in the model? The following SAS program is submitted:
A) There are no hidden units in the model.
B) The number of hidden units is 50.
C) The number of hidden units is 1.
D) The number of hidden units is 26.
3. What is the main goal of data preprocessing in a machine learning pipeline?
A) To visualize the data
B) To train the model
C) To remove irrelevant features
D) To prepare the data for analysis and modeling
4. What does the term "bagging" refer to in ensemble learning?
A) The process of combining multiple identical models to reduce variance
B) A form of dimensionality reduction
C) A technique that reduces model complexity
D) A type of feature extraction
5. Which data source typically provides access to real-time financial market data?
A) Online news websites
B) Social media platforms
C) Weather stations
D) Stock market APIs
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: D |
